A systematic PLS-SEM approach on assessment of indigenous knowledge in adapting to floods; A way forward to sustainable agriculture

Abstract

The present study was conducted in one of the major agriculture areas to check farmers indigenous knowledge about the impacts of floods on their farming lives, food security, sustainable development, and risk assessment. In the current study, primary data was used to analyze the situation. A semi-structured questionnaire was distributed among farmers. We have collected a cross-sectional dataset and applied the PLS-SEM dual-stage hybrid model to test the proposed hypotheses and rank the social, economic, and technological factors according to their normalized importance. Results revealed that farmers’ knowledge associated with adaption strategies, food security, risk assessment, and livelihood assets are the most significant predictors. Farmers need to have sufficient knowledge about floods, and it can help them to adopt proper measurements. A PLS-SEM dual-stage hybrid model was used to check the relationship among all variables, which showed a significant relationship among DV, IV, and control variables. PLS-SEM direct path analysis revealed that AS (b = −0.155; p 0.001), FS (b = 0.343; p 0.001), LA (b = 0.273; p 0.001), RA (b = 0.147; p 0.006), and for FKF have statistically significant values of beta, while SD (b = −0.079NS) is not significant. These results offer support to hypotheses H1 through H4 and H5 being rejected. On the other hand, age does not have any relationship with farmers’ knowledge of floods. Our study results have important policy suggestions for governments and other stakeholders to consider in order to make useful policies for the ecosystem. The study will aid in the implementation of effective monitoring and public policies to promote integrated and sustainable development, as well as how to minimize the impacts of floods on farmers’ lives and save the ecosystem and food.

A PLS-SEM Analysis to Check Public Willingness to Use Water from Filtration Plants Installed by Public Own Organizations; a Study of Psychological Behavior Toward Sustainable Development

“…Since PLS-SEM is one of the most useful methods for predicting outcomes and since it is the most commonly recommended method for predicting and assessing explained variables to account for the largest potential variance to analyze the relationship among variables. 19 PLS-SEM is used to analyze data since it is the most recommended way for…”

“…Since PLS-SEM is one of the most useful methods for predicting outcomes and since it is the most commonly recommended method for predicting and assessing explained variables to account for the largest potential variance to analyze the relationship among variables. 19 PLS-SEM is used to analyze data since it is the most recommended way for predicting and assessing explained variables to account for the largest potential variance, and PLS-SEM is one of the most effective approaches for predicting outcomes. 40 PLS-SEM permits using a limited sample number while yielding higher-quality conclusions.…”

“…17 To evaluate the amount of public engagement and the required positive behavioral response, it is necessary to gain a deeper understanding of how the general public feels about water quality and its importance for environmental sustainability. [18][19][20][21][22][23][24][25][26] To implement and evaluate the success of water quality improvement plans and water pollution management strategies, policymakers must take a more in-depth look at a variety of factors, including human factors such as perception, knowledge, awareness, communication, and societal fabric, as well as economic factors, especially in light of socio-economic impact and climate change. 27 It is more challenging for developing countries with limited resources to provide potable water.…”

Farmers’ resilience to climate change through the circular economy and sustainable agriculture: a review from developed and developing countries

“…-No paper has mentioned the actual policies related to the topic of the study. -Besides awareness of the climate change issues and knowledge and skills, risk of income loss, farm size, and training and extension services influence farmers' decision to the adaptation and mitigation strategies (Byrareddy et al, 2021;Ma et al, 2022;Maleksaeidi et al, 2016;Musafiri et al, 2022;Samuel and Sylvia, 2019;Setsoafia, Ma and Renwick, 2022;Singh et al, 2021;Sohail and Chen, 2022;Wilk, Andersson and Warburton, 2013;Zeweld et al, 2018). -High cost of production and financial access were the common barriers for farmers to implement sustainable practice (Bhalerao et al, 2022;Bosma et al, 2012;Branca et al, 2021;Branca et al, 2022;Kopytko, 2019;Sarkar et al, 2022).…”

Revealing effectiveness and heterogeneity of the impact of China’s coal consumption control policy on air quality

“…Coal, the most polluting source (Barreira et al, 2017), has remained the dominant energy source in China over the past 20 years (see Figure 1). While the coal-based energy framework has contributed to the economic boom, it also poses significant challenges to China's long-term development, i.e., aggravating environmental pollution (Yang & Teng, 2018;Sohail et al, 2022b;Sohail M. et al, 2022;Yang, Zhou et al, 2022;Zhao, Huangfu et al, 2022), causing substantial health damage (Yang et al, 2013;Sun et al, 2018), and accelerating climate change (Edwards, 2019). Among those problems, air pollution has developed into a major economic and social concern in China (Sohail et al, 2021a;Sohail et al, 2021b;Chen et al, 2022;Fami and Sohail 2022;Lan et al, 2022;Liu N. et al, 2022).…”